CN106571037A - Station detection technology-based expressway real-time road condition monitoring method - Google Patents

Station detection technology-based expressway real-time road condition monitoring method Download PDF

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Publication number
CN106571037A
CN106571037A CN201611004200.XA CN201611004200A CN106571037A CN 106571037 A CN106571037 A CN 106571037A CN 201611004200 A CN201611004200 A CN 201611004200A CN 106571037 A CN106571037 A CN 106571037A
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China
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real
vehicle
section
time road
road
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CN201611004200.XA
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常云涛
郑立勇
王奕彤
苏斌
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Tongji University
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Tongji University
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Priority to CN201611004200.XA priority Critical patent/CN106571037A/en
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    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0116Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/09Arrangements for giving variable traffic instructions

Abstract

The present invention relates to a station detection technology-based expressway real-time road condition monitoring method. The method comprises the following steps of 1) extracting the vehicle data and the road section data according to the monitoring data real-timely uploaded by the station detection devices in an expressway network; 2) according to the monitoring data, adopting a license plate matching algorithm to obtain the journey time and the corresponding journey vehicle speed of a plurality of vehicles passing a road section between two adjacent stations; 3) filtering the abnormal journey vehicle speed data and calculating the average journey vehicle speed of the road section; 4) comparing the average journey vehicle speed of the road section with the speed threshold values corresponding to the service levels of an expressway to obtain the real-time road condition of the road section; 5) publishing the real-time road condition and the relevant guidance information via the variable message boards in front of the entrance toll stations. Compared with the prior art, the method of the present invention has the advantages of being timely and accurate to obtain the road conditions, being suitable for the large-range and cross-region road network, etc.

Description

A kind of highway real-time road monitoring method based on bayonet socket detection technique
Technical field
The present invention relates to freeway management and technical field of intelligent traffic, skill is detected more particularly, to a kind of based on bayonet socket The highway real-time road monitoring method of art.
Background technology
Highway has great significance as intercity rapid transit corridor, the development to national economy.However, with The continuous growth of China's automobile pollution in recent years, highway jam happens occasionally;The traffic accident that takes place frequently and from So disaster also greatly have impact on the operational efficiency of highway.For freeway management department, timely and accurately obtain Freeway Conditions are the premises for implementing traffic organization and management;For road user, the road obtained by communication media Condition information can aid in it to carry out Path selection, improve out line efficiency, therefore, now need a kind of to enter highway real-time road The method that row is obtained in real time and issued.
In traditional urban road road condition monitoring system, main testing equipment includes video camera, geomagnetic induction coil And GPS Floating Cars etc., the field range that there is video monitoring equipment is limited, place coil device routes coverage compared with The problems such as little, GPS Floating Cars lazy weight, three of the above method is not suitable for directly applying to large-scale freeway net Among real-time road monitoring.
The content of the invention
The purpose of the present invention is exactly the defect in order to overcome above-mentioned prior art to exist and provides a kind of road conditions and obtain timely Accurately, suitable on a large scale, the highway real-time road monitoring method based on bayonet socket detection technique of trans-regional road network.
The purpose of the present invention can be achieved through the following technical solutions:
A kind of highway real-time road monitoring method based on bayonet socket detection technique, to obtain the real-time road of highway Condition simultaneously issues real-time road and related induction information by variable information board, and the method is comprised the following steps:
1) Monitoring Data uploaded in real time according to each bayonet socket testing equipment in freeway net, extracts vehicle data and section Data, described vehicle data includes detection bayonet socket numbering, car plate, vehicle and the timestamp of vehicle, described section packet Include any two adjacent bayonet socket place section interval and road section length;
2) many vehicles section through between two adjacent bayonet sockets is obtained using car plate matching algorithm according to Monitoring Data interval Journey time and corresponding travel speed;
3) abnormal travel speed data are filtered and are calculated with the interval average stroke speed in the section;
4) average stroke speed threshold speed corresponding with highway service level at different levels in section interval is compared, Obtain the interval real-time road in the section;
5) real-time road and related induction information are issued by the variable information board before each entrance charge station.
Described step 2) specifically include following steps:
21) the Monitoring Data record in real time uploading each bayonet socket testing equipment is in car history table is crossed;
22) judge vehicle license plate information that the adjacent bayonet socket testing equipment of current detection cycle two measures whether with previous inspection The vehicle license plate information matches that cycle detection is arrived are surveyed, step 23 is if so, then carried out), if it is not, then carrying out step 24);
23) the acquisition vehicle interval journey time in section and corresponding travel speed through between two adjacent bayonet sockets, and Cross in car history table carries out replacement renewal by the Monitoring Data of the current detection cycle vehicle;
24) judge that the car is to sail road network in the current detection cycle, and the Monitoring Data record of the car is gone through in car excessively In history record sheet.
Described step 23) in, the calculating formula of travel speed is:
vi=l/ti
Wherein, l is section length of an interval degree between two adjacent bayonet sockets, viFor the travel speed of i-th vehicle, tiFor stroke Time, and by vehicle through two adjacent bayonet sockets time stamp data subtraction calculations.
Described step 3) in, it is provided by imitating vehicle speed intervals [vk,min,vk,max] data filtering is carried out, wherein, vk,min For vehicle section interval k setting minimum stroke speed, vk,maxFor vehicle section interval k setting range speed.
Described step 3) in, average stroke speedCalculating formula be:
Wherein, n is sample total, viFor the travel speed of i-th vehicle, fiFor the vehicle correction factor of i-th vehicle.
Described step 4) in, the interval real-time road in section includes unimpeded, more unimpeded, more crowded, crowded and congestion shape State, and using the corresponding lower limit speed of highway service level at different levels as decision threshold, if average stroke speed is located at two Between decision threshold, then corresponding real-time road is obtained.
Described step 5) in,
When real-time road is unimpeded or more unimpeded state, variable information board does not release news or only issues and publicizes type letter Breath;
When real-time road is more crowded or crowded, variable information board only issues traffic information;
When real-time road be congestion when, variable information board issue traffic information, while advise vehicle select other paths around OK.
Compared with prior art, the present invention has advantages below:
The present invention meets the growth requirement of the current freeway traffic regulation of China, differentiates for traditional cities road conditions Method cannot be applied on a large scale, the problem of trans-regional freeway net, propose on the basis of bayonet socket detection technique a kind of high The method that fast network of highways road conditions are obtained and issued, makes full use of existing video bayonet socket and variable information board in road network, accurate in time Really determine the congestion in section and road conditions issue and information guiding are carried out by variable information board, effectively improve road network Operational efficiency.Therefore, the present invention has a good application prospect in China's freeway management and control field.
Description of the drawings
Fig. 1 is the road network digraph and bayonet socket, variable information board layout diagram of the embodiment of the present invention.
Fig. 2 is the method flow diagram of the embodiment of the present invention.
Fig. 3 is the bicycle travel speed estimating algorithm flow chart of the embodiment of the present invention.
Fig. 4 is the average stroke speed time-varying figure in each section in the embodiment of the present invention.
Specific embodiment
Below in conjunction with the accompanying drawings the present invention is described in detail with specific embodiment.
Embodiment:
With reference to specific embodiment, the present invention is further elucidated, it should be understood that these embodiments are merely to illustrate the present invention Rather than the scope of the present invention is limited, and after the present invention has been read, various equivalences of the those skilled in the art to the present invention The modification of form falls within limited range required by the application.
As shown in figure 1, embodiment high speed network of highways be Changchun to Shenzhen highway pile No. 1067km+600m to pile No. 1599KM+900m sections (toward Tianjin direction), long 31 kilometers altogether including Liang Ge ring roads charge station, an interchange overpass, video card Mouth selects the pixel ultra high-definition bayonet socket of IS-3016VR types 6,000,000, Car license recognition rate >=95%, visual field width >=12m to cover completely 3 standard lanes of lid, bayonet socket is mainly laid in before each forking node of road network, is collaborated after node and each charge station's entrance Place;Variable information board selects full dot matrix, three primary colours type advices plate, is mainly laid in the hinges such as charge station's entrance and interchange overpass At node, road network digraph and bayonet socket, variable information board installation position are as shown in the figure.
It is main to three sections in direction from south to north in accompanying drawing 1:Section 1 (1607km+623m~1596km+997m), Section 2 (1596km+997m~1585km+385m) and section 3 (1579km+900m~1567km+800m) carry out real-time road Obtain and issue.
Detection cycle T1 is set as 5 minutes, i.e., per 5 minutes from system database read a bayonet socket detection data.System The operation of system mainly includes four parts:Digital independent and pretreatment, average link speed are calculated, section real-time road judges and Variable information board information is issued.Method flow diagram is as shown in Fig. 2 to implement step as follows:
The first step:Loading road section information table and tollgate devices information table, including the length in section, position and start node compile Number etc. the information such as numbering, the position of information and tollgate devices, tollgate devices positional information limited bayonet place section can be passed through.
Second step:System starts timing operation, is read from database in detection cycle (in 5 minutes) according to critical field Bayonet socket detection data, the information such as main license plate number, vehicle, timestamp including tollgate devices numbering and vehicle.By algorithm Data are pre-processed, the data that there is the anomalies such as disappearance, repetition are deleted.
3rd step:The data record that each tollgate devices are collected in detection cycle is traveled through one by one, is calculated by car plate matching Method obtains the bicycle travel speed sample recorded per bar, and car plate matching algorithm is as shown in Figure 3.
4th step is filtered according to effective vehicle speed intervals to each bicycle travel speed sample, the effective speed in embodiment Interval for [40,130] (km/h), and according to formula:(For road-section average travel speed, fiFor vehicle amendment system Number, viFor the travel speed of i-th car, n is sample total) calculate road-section average travel speed.
5th step:By road-section average travel speed with《HCM》In the corresponding speed of all kinds of service levels Threshold value is contrasted, and the road conditions for judging current road segment (are divided into Pyatyi:Unimpeded, more unimpeded, more crowded, crowded, congestion), embodiment All kinds of road conditions corresponding speeds of middle setting are interval as follows:
6th step:When average stroke speed is more than 110km/h, road conditions are judged to unimpeded;Between 90km/h and 110km/h When, road conditions are judged to more unimpeded;Between 82km/h and 90km/h when, road conditions are judged to more crowded;Between 72km/h and 82km/h When, road conditions are judged to crowded;During less than 72km/h, road conditions are judged to congestion.
7th step:Section real-time road is issued to each section administrative office, each section pipe by administrative center by transmission network The variable information board that charge station porch is controlled at reason issues the road conditions and related induction information of corresponding road section:(1) when road conditions are During unimpeded or more unimpeded state, variable information board does not release news (or only issuing publicity type information);(2) when road conditions are relatively to gather around When squeezing or be crowded, variable information board only issues traffic information;(3) when road conditions are congestion, variable information board issues traffic information, Advise that vehicle selects other Path reroutings simultaneously.
8th step:Calculate and process the spent time from second step to the 8th step system and be designated as T2, when calculating remaining Between T3 (T3=T1-T2), after T3 durations enter next detection cycle.
9th step:Into next detection cycle, start to recirculate execution from second step.
As shown in figure 4, choose highway peak period being analyzed to each section road conditions, the period is detected extremely at the 14th In the time of the 19th detection period, section interval 2 occurs in that the phenomenon that obvious travel speed declines, and speed is less than 75km/ H, road traffic state is judged to congestion, and now charge station B issues related road conditions and induction information by variable information board, guides Driver is detoured to prevent being further exacerbated by for congestion, while taking control to arrange in time for freeway management department Apply there is provided reference frame.

Claims (7)

1. a kind of highway real-time road monitoring method based on bayonet socket detection technique, to obtain highway real-time road And real-time road and related induction information are issued by variable information board, it is characterised in that the method is comprised the following steps:
1) Monitoring Data uploaded in real time according to each bayonet socket testing equipment in freeway net, extracts vehicle data and section number According to described vehicle data includes detection bayonet socket numbering, car plate, vehicle and the timestamp of vehicle, and described section data include Any two adjacent bayonet socket place section interval and road section length;
2) many vehicles interval row in section through between two adjacent bayonet sockets is obtained using car plate matching algorithm according to Monitoring Data Journey time and corresponding travel speed;
3) abnormal travel speed data are filtered and are calculated with the interval average stroke speed in the section;
4) average stroke speed threshold speed corresponding with highway service level at different levels in section interval is compared, is obtained The interval real-time road in the section;
5) real-time road and related induction information are issued by the variable information board before each entrance charge station.
2. a kind of highway real-time road monitoring method based on bayonet socket detection technique according to claim 1, it is special Levy and be, described step 2) specifically include following steps:
21) the Monitoring Data record in real time uploading each bayonet socket testing equipment is in car history table is crossed;
22) judge whether the vehicle license plate information that the adjacent bayonet socket testing equipment of current detection cycle two is measured is all with previous detection The vehicle license plate information matches that phase detects, if so, then carry out step 23), if it is not, then carrying out step 24);
23) the vehicle interval journey time in section and corresponding travel speed through between two adjacent bayonet sockets are obtained, and is crossing car The Monitoring Data of the current detection cycle vehicle is carried out into replacement renewal in history table;
24) judge that the car is to sail road network in the current detection cycle, and the Monitoring Data record of the car is being crossed into car history note In record table.
3. a kind of highway real-time road monitoring method based on bayonet socket detection technique according to claim 2, it is special Levy and be, described step 23) in, the calculating formula of travel speed is:
vi=l/ti
Wherein, l is section length of an interval degree between two adjacent bayonet sockets, viFor the travel speed of i-th vehicle, tiFor journey time, And by vehicle through two adjacent bayonet sockets time stamp data subtraction calculations.
4. a kind of highway real-time road monitoring method based on bayonet socket detection technique according to claim 1, it is special Levy and be, described step 3) in, it is provided by imitating vehicle speed intervals [vk,min,vk,max] data filtering is carried out, wherein, vk,min For vehicle section interval k setting minimum stroke speed, vk,maxFor vehicle section interval k setting range speed.
5. a kind of highway real-time road monitoring method based on bayonet socket detection technique according to claim 1, it is special Levy and be, described step 3) in, average stroke speedCalculating formula be:
v ‾ = 1 n Σ i = 1 n f i v i
Wherein, n is sample total, viFor the travel speed of i-th vehicle, fiFor the vehicle correction factor of i-th vehicle.
6. a kind of highway real-time road monitoring method based on bayonet socket detection technique according to claim 1, it is special Levy and be, described step 4) in, the interval real-time road in section includes unimpeded, more unimpeded, more crowded, crowded and congestion shape State, and using the corresponding lower limit speed of highway service level at different levels as decision threshold, if average stroke speed is located at two Between decision threshold, then corresponding real-time road is obtained.
7. a kind of highway real-time road monitoring method based on bayonet socket detection technique according to claim 6, it is special Levy and be, described step 5) in,
When real-time road is unimpeded or more unimpeded state, variable information board does not release news or only issues and publicizes type information;
When real-time road is more crowded or crowded, variable information board only issues traffic information;
When real-time road is congestion, variable information board issues traffic information, while advising that vehicle selects other Path reroutings.
CN201611004200.XA 2016-11-15 2016-11-15 Station detection technology-based expressway real-time road condition monitoring method Pending CN106571037A (en)

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CN107564313A (en) * 2017-08-16 2018-01-09 齐鲁交通信息有限公司 Highway traffic congestion notice system and forecasting methods
CN107886584A (en) * 2017-10-27 2018-04-06 深圳市金溢科技股份有限公司 Sending control method, controller, roadside unit and the toll tags of wake-up signal
CN108665707A (en) * 2018-05-24 2018-10-16 金陵科技学院 It is a kind of prevent local traffic congestion expressway access shunting and flow cooperative control method
CN108847042A (en) * 2018-08-24 2018-11-20 讯飞智元信息科技有限公司 A kind of traffic information dissemination method and device
CN109064754A (en) * 2018-10-10 2018-12-21 南京宁昱通交通科技有限公司 A kind of expressway access shunts and flow Collaborative Control technology
CN109087508A (en) * 2018-08-30 2018-12-25 广州市市政工程设计研究总院有限公司 Contiguous zone traffic analysis method and system based on high definition bayonet data
CN109326121A (en) * 2017-07-31 2019-02-12 交通运输部公路科学研究所 Highway construction area upstream vehicle cocurrent control method
CN109584560A (en) * 2018-12-20 2019-04-05 四川睿盈源科技有限责任公司 A kind of traffic control adjusting method and system based on freeway traffic detection
CN109598932A (en) * 2018-12-04 2019-04-09 沈阳世纪高通科技有限公司 Road conditions analysis method and device
CN109754621A (en) * 2019-03-01 2019-05-14 苏州星奥达科技有限公司 A kind of video analysis method based on Freeway Conditions situation
CN110322687A (en) * 2018-03-30 2019-10-11 杭州海康威视系统技术有限公司 The method and apparatus for determining target intersection running state information
CN110533914A (en) * 2019-09-23 2019-12-03 浙江科技学院 A kind of Freeway Conditions automatic monitoring system and method
CN110796867A (en) * 2019-11-28 2020-02-14 沈阳世纪高通科技有限公司 Road condition determining method and device
CN110880237A (en) * 2019-08-29 2020-03-13 安徽百诚慧通科技有限公司 Highway long-downhill closed-loop accident prevention system and method
CN111508094A (en) * 2020-06-30 2020-08-07 之江实验室 Highway congestion finding method based on ETC portal frame and gate traffic data
CN111845743A (en) * 2020-07-14 2020-10-30 肇庆小鹏汽车有限公司 Vehicle cruise control method, device, vehicle and storage medium
CN114863675A (en) * 2022-04-08 2022-08-05 北京工业大学 Method for predicting position of key vehicle and alarming abnormity based on road police data fusion
CN116071929A (en) * 2023-03-06 2023-05-05 深圳市城市交通规划设计研究中心股份有限公司 Real-time road condition monitoring system and method based on bayonet license plate recognition data
CN116994441A (en) * 2023-09-26 2023-11-03 北京清创美科环境科技有限公司 Traffic flow information data processing method and system

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CN107564313A (en) * 2017-08-16 2018-01-09 齐鲁交通信息有限公司 Highway traffic congestion notice system and forecasting methods
CN107886584A (en) * 2017-10-27 2018-04-06 深圳市金溢科技股份有限公司 Sending control method, controller, roadside unit and the toll tags of wake-up signal
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CN109087508A (en) * 2018-08-30 2018-12-25 广州市市政工程设计研究总院有限公司 Contiguous zone traffic analysis method and system based on high definition bayonet data
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CN109064754A (en) * 2018-10-10 2018-12-21 南京宁昱通交通科技有限公司 A kind of expressway access shunts and flow Collaborative Control technology
CN109598932A (en) * 2018-12-04 2019-04-09 沈阳世纪高通科技有限公司 Road conditions analysis method and device
CN109584560A (en) * 2018-12-20 2019-04-05 四川睿盈源科技有限责任公司 A kind of traffic control adjusting method and system based on freeway traffic detection
CN109754621A (en) * 2019-03-01 2019-05-14 苏州星奥达科技有限公司 A kind of video analysis method based on Freeway Conditions situation
CN110880237A (en) * 2019-08-29 2020-03-13 安徽百诚慧通科技有限公司 Highway long-downhill closed-loop accident prevention system and method
CN110533914A (en) * 2019-09-23 2019-12-03 浙江科技学院 A kind of Freeway Conditions automatic monitoring system and method
CN110796867A (en) * 2019-11-28 2020-02-14 沈阳世纪高通科技有限公司 Road condition determining method and device
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CN111508094A (en) * 2020-06-30 2020-08-07 之江实验室 Highway congestion finding method based on ETC portal frame and gate traffic data
CN111845743A (en) * 2020-07-14 2020-10-30 肇庆小鹏汽车有限公司 Vehicle cruise control method, device, vehicle and storage medium
CN114863675A (en) * 2022-04-08 2022-08-05 北京工业大学 Method for predicting position of key vehicle and alarming abnormity based on road police data fusion
CN114863675B (en) * 2022-04-08 2023-12-29 北京工业大学 Road police data fusion-based key vehicle position estimation and abnormality alarm method
CN116071929A (en) * 2023-03-06 2023-05-05 深圳市城市交通规划设计研究中心股份有限公司 Real-time road condition monitoring system and method based on bayonet license plate recognition data
CN116994441A (en) * 2023-09-26 2023-11-03 北京清创美科环境科技有限公司 Traffic flow information data processing method and system
CN116994441B (en) * 2023-09-26 2023-12-12 北京清创美科环境科技有限公司 Traffic flow information data processing method and system

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